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node2vec: Scalable Feature Learning for Networks

node2vec: Scalable Feature Learning for Networks

3 July 2016
Aditya Grover
J. Leskovec
ArXiv (abs)PDFHTML

Papers citing "node2vec: Scalable Feature Learning for Networks"

50 / 2,627 papers shown
Title
Introducing New Node Prediction in Graph Mining: Predicting All Links
  from Isolated Nodes with Graph Neural Networks
Introducing New Node Prediction in Graph Mining: Predicting All Links from Isolated Nodes with Graph Neural Networks
D. Zanardini
Emilio Serrano
AI4CEGNN
99
1
0
10 Jan 2024
Combining Embedding-Based and Semantic-Based Models for Post-hoc
  Explanations in Recommender Systems
Combining Embedding-Based and Semantic-Based Models for Post-hoc Explanations in Recommender Systems
Ngoc Luyen Lê
Marie-Hélène Abel
Philippe Gouspillou
74
7
0
09 Jan 2024
Unifying Graph Contrastive Learning via Graph Message Augmentation
Unifying Graph Contrastive Learning via Graph Message Augmentation
Ziyan Zhang
Bo Jiang
Jin Tang
Bin Luo
87
1
0
08 Jan 2024
Graph-level Protein Representation Learning by Structure Knowledge
  Refinement
Graph-level Protein Representation Learning by Structure Knowledge Refinement
Ge Wang
Z. Zang
Jiangbin Zheng
Jun Xia
Stan Z. Li
64
0
0
05 Jan 2024
A Community Detection and Graph Neural Network Based Link Prediction
  Approach for Scientific Literature
A Community Detection and Graph Neural Network Based Link Prediction Approach for Scientific Literature
Chunjiang Liu
Yikun Han
Haiyun Xu
Shihan Yang
Kaidi Wang
Yongye Su
176
7
0
04 Jan 2024
Mastery Guided Non-parametric Clustering to Scale-up Strategy Prediction
Mastery Guided Non-parametric Clustering to Scale-up Strategy Prediction
Anup Shakya
Vasile Rus
Deepak Venugopal
35
0
0
04 Jan 2024
Social-LLM: Modeling User Behavior at Scale using Language Models and
  Social Network Data
Social-LLM: Modeling User Behavior at Scale using Language Models and Social Network Data
Julie Jiang
Emilio Ferrara
44
10
0
31 Dec 2023
Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding
Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding
K. Abdous
Nairouz Mrabah
Mohamed Bouguessa
77
4
0
28 Dec 2023
A Contrastive Variational Graph Auto-Encoder for Node Clustering
A Contrastive Variational Graph Auto-Encoder for Node Clustering
Nairouz Mrabah
Mohamed Bouguessa
Riadh Ksantini
DRL
87
10
0
28 Dec 2023
Learning Scalable Structural Representations for Link Prediction with
  Bloom Signatures
Learning Scalable Structural Representations for Link Prediction with Bloom Signatures
Tianyi Zhang
Haoteng Yin
Rongzhe Wei
Pan Li
Anshumali Shrivastava
AI4CE
77
1
0
28 Dec 2023
It Is Time To Steer: A Scalable Framework for Analysis-driven Attack
  Graph Generation
It Is Time To Steer: A Scalable Framework for Analysis-driven Attack Graph Generation
Alessandro Palma
Marco Angelini
49
3
0
27 Dec 2023
Hypergraph Enhanced Knowledge Tree Prompt Learning for Next-Basket
  Recommendation
Hypergraph Enhanced Knowledge Tree Prompt Learning for Next-Basket Recommendation
Zi-Feng Mai
Chang-Dong Wang
Zhongjie Zeng
Ya Li
Jiaquan Chen
Philip S. Yu
67
1
0
26 Dec 2023
RDF-star2Vec: RDF-star Graph Embeddings for Data Mining
RDF-star2Vec: RDF-star Graph Embeddings for Data Mining
S. Egami
Takanori Ugai
Masateru Oota
Kyoumoto Matsushita
Takahiro Kawamura
Kouji Kozaki
Ken Fukuda
3DV
86
3
0
25 Dec 2023
An FPGA-Based Accelerator for Graph Embedding using Sequential Training
  Algorithm
An FPGA-Based Accelerator for Graph Embedding using Sequential Training Algorithm
Kazuki Sunaga
Keisuke Sugiura
Hiroki Matsutani
GNN
76
0
0
23 Dec 2023
Image-based Data Representations of Time Series: A Comparative Analysis
  in EEG Artifact Detection
Image-based Data Representations of Time Series: A Comparative Analysis in EEG Artifact Detection
Aaron Maiwald
Leon Ackermann
Maximilian Kalcher
Daniel J. Wu
AI4TS
41
0
0
21 Dec 2023
Continuous-time Graph Representation with Sequential Survival Process
Continuous-time Graph Representation with Sequential Survival Process
Abdulkadir Çelikkanat
Nikolaos Nakis
Morten Morup
33
2
0
20 Dec 2023
Professional Network Matters: Connections Empower Person-Job Fit
Professional Network Matters: Connections Empower Person-Job Fit
Hao Chen
Lun Du
Yuxuan Lu
Qiang Fu
Xu Chen
Shi Han
Yanbin Kang
Guangming Lu
Zi Li
64
3
0
19 Dec 2023
Model Stealing Attack against Graph Classification with Authenticity,
  Uncertainty and Diversity
Model Stealing Attack against Graph Classification with Authenticity, Uncertainty and Diversity
Zhihao Zhu
Chenwang Wu
Rui Fan
Yi Yang
Defu Lian
Enhong Chen
AAML
68
0
0
18 Dec 2023
Non-Euclidean Spatial Graph Neural Network
Non-Euclidean Spatial Graph Neural Network
Zhengwu Zhang
Sirui Li
Jingcheng Zhou
Junxiang Wang
Abhinav Angirekula
Allen Zhang
Liang Zhao
GNN
41
0
0
17 Dec 2023
Rethinking Dimensional Rationale in Graph Contrastive Learning from
  Causal Perspective
Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective
Qirui Ji
Jiangmeng Li
Jie Hu
Rui Wang
Changwen Zheng
Fanjiang Xu
105
14
0
16 Dec 2023
When Graph Data Meets Multimodal: A New Paradigm for Graph Understanding
  and Reasoning
When Graph Data Meets Multimodal: A New Paradigm for Graph Understanding and Reasoning
Qihang Ai
Jianwu Zhou
Haiyun Jiang
Lemao Liu
Shuming Shi
35
1
0
16 Dec 2023
Multi-perspective Feedback-attention Coupling Model for Continuous-time
  Dynamic Graphs
Multi-perspective Feedback-attention Coupling Model for Continuous-time Dynamic Graphs
Xiaobo Zhu
Yan Wu
Zhipeng Li
Hailong Su
Jin Che
Zhanheng Chen
Liying Wang
63
0
0
13 Dec 2023
FULL-W2V: Fully Exploiting Data Reuse for W2V on GPU-Accelerated Systems
FULL-W2V: Fully Exploiting Data Reuse for W2V on GPU-Accelerated Systems
Thomas Randall
Tyler N. Allen
Rong Ge
VLM
26
0
0
12 Dec 2023
EdgePruner: Poisoned Edge Pruning in Graph Contrastive Learning
EdgePruner: Poisoned Edge Pruning in Graph Contrastive Learning
Hiroya Kato
Kento Hasegawa
Seira Hidano
Kazuhide Fukushima
AAML
75
0
0
12 Dec 2023
Revisiting Graph-Based Fraud Detection in Sight of Heterophily and
  Spectrum
Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum
Fan Xu
Nan Wang
Hao Wu
Xuezhi Wen
Xibin Zhao
Hai Wan
86
27
0
11 Dec 2023
VisionTraj: A Noise-Robust Trajectory Recovery Framework based on
  Large-scale Camera Network
VisionTraj: A Noise-Robust Trajectory Recovery Framework based on Large-scale Camera Network
Zhishuai Li
Ziyue Li
Xiaoru Hu
Guoqing Du
Yunhao Nie
Feng Zhu
Lei Bai
Rui Zhao
76
3
0
11 Dec 2023
User Modeling in the Era of Large Language Models: Current Research and
  Future Directions
User Modeling in the Era of Large Language Models: Current Research and Future Directions
Zhaoxuan Tan
Meng Jiang
123
12
0
11 Dec 2023
StructComp: Substituting Propagation with Structural Compression in
  Training Graph Contrastive Learning
StructComp: Substituting Propagation with Structural Compression in Training Graph Contrastive Learning
Shengzhong Zhang
Wenjie Yang
Xinyuan Cao
Hongwei Zhang
Zengfeng Huang
113
2
0
08 Dec 2023
Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative
  Sampling Framework for Link Prediction
Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction
Yakun Wang
Binbin Hu
Shuo Yang
Meiqi Zhu
Qing Cui
Qiyang Zhang
Jun Zhou
Guo Ye
Huimei He
49
0
0
08 Dec 2023
Learning Genomic Sequence Representations using Graph Neural Networks
  over De Bruijn Graphs
Learning Genomic Sequence Representations using Graph Neural Networks over De Bruijn Graphs
Kacper Kapusniak
Manuel Burger
Gunnar Rätsch
Amir Joudaki
46
1
0
06 Dec 2023
On the Role of Edge Dependency in Graph Generative Models
On the Role of Edge Dependency in Graph Generative Models
Sudhanshu Chanpuriya
Cameron Musco
Konstantinos Sotiropoulos
Charalampos E. Tsourakakis
68
1
0
06 Dec 2023
Dissecting Medical Referral Mechanisms in Health Services: Role of
  Physician Professional Networks
Dissecting Medical Referral Mechanisms in Health Services: Role of Physician Professional Networks
Regina de Brito Duarte
Qiwei Han
Cláudia Soares
48
1
0
04 Dec 2023
Normed Spaces for Graph Embedding
Normed Spaces for Graph Embedding
Diaaeldin Taha
Wei Zhao
J. M. Riestenberg
Michael Strube
106
1
0
03 Dec 2023
Graph Coordinates and Conventional Neural Networks -- An Alternative for
  Graph Neural Networks
Graph Coordinates and Conventional Neural Networks -- An Alternative for Graph Neural Networks
Zheyi Qin
Randy Paffenroth
A. Jayasumana
GNN
79
1
0
03 Dec 2023
A Review of Link Prediction Applications in Network Biology
A Review of Link Prediction Applications in Network Biology
Ahmad F. Al Musawi
Satyaki Roy
Preetam Ghosh
52
2
0
03 Dec 2023
RNA-KG: An ontology-based knowledge graph for representing interactions
  involving RNA molecules
RNA-KG: An ontology-based knowledge graph for representing interactions involving RNA molecules
Emanuele Cavalleri
Alberto Cabri
Mauricio Soto Gomez
Sara Bonfitto
P. Perlasca
...
Justin P Reese
Peter N. Robinson
E. Casiraghi
Giorgio Valentini
M. Mesiti
67
2
0
30 Nov 2023
Detecting Anomalous Network Communication Patterns Using Graph
  Convolutional Networks
Detecting Anomalous Network Communication Patterns Using Graph Convolutional Networks
Yizhak Vaisman
Gilad Katz
Yuval Elovici
A. Shabtai
GNN
22
2
0
30 Nov 2023
Graph Prompt Learning: A Comprehensive Survey and Beyond
Graph Prompt Learning: A Comprehensive Survey and Beyond
Xiangguo Sun
Jiawen Zhang
Xixi Wu
Hong Cheng
Yun Xiong
Jia Li
122
58
0
28 Nov 2023
MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs
MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs
Xingtong Yu
Chang Zhou
Yuan Fang
Xinming Zhang
117
38
0
28 Nov 2023
Generalized Graph Prompt: Toward a Unification of Pre-Training and
  Downstream Tasks on Graphs
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs
Xingtong Yu
Zhenghao Liu
Yuan Fang
Zemin Liu
Sihong Chen
Xinming Zhang
127
31
0
26 Nov 2023
Accurate and interpretable drug-drug interaction prediction enabled by
  knowledge subgraph learning
Accurate and interpretable drug-drug interaction prediction enabled by knowledge subgraph learning
Yaqing Wang
Zaifei Yang
Quanming Yao
73
22
0
25 Nov 2023
HGCLIP: Exploring Vision-Language Models with Graph Representations for
  Hierarchical Understanding
HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding
Peng Xia
Xingtong Yu
Ming Hu
Lie Ju
Zhiyong Wang
Peibo Duan
Zongyuan Ge
VLM
140
13
0
23 Nov 2023
Content Augmented Graph Neural Networks
Content Augmented Graph Neural Networks
Fatemeh Gholamzadeh Nasrabadi
AmirHossein Kashani
Pegah Zahedi
M. H. Chehreghani
83
3
0
21 Nov 2023
Towards a more inductive world for drug repurposing approaches
Towards a more inductive world for drug repurposing approaches
Jesús De la Fuente
Guillermo Serrano
Uxía Veleiro
Mikel Casals
Laura Vera
...
Antonio Pineda-Lucena
Idoia Ochoa
Silve Vicent
Olivier Gevaert
Mikel Hernaez
51
1
0
21 Nov 2023
Improving Real Estate Appraisal with POI Integration and Areal Embedding
Improving Real Estate Appraisal with POI Integration and Areal Embedding
Sumin Han
Y. Park
Sonia Sabir
Jisun An
Dongman Lee
60
1
0
20 Nov 2023
DSCom: A Data-Driven Self-Adaptive Community-Based Framework for
  Influence Maximization in Social Networks
DSCom: A Data-Driven Self-Adaptive Community-Based Framework for Influence Maximization in Social Networks
Yuxin Zuo
Haojia Sun
Yongyi Hu
Jianxiong Guo
Xiaofeng Gao
58
1
0
18 Nov 2023
Generating Drug Repurposing Hypotheses through the Combination of
  Disease-Specific Hypergraphs
Generating Drug Repurposing Hypotheses through the Combination of Disease-Specific Hypergraphs
Ayush Jain
Marie Charpignon
Irene Y. Chen
Anthony Philippakis
Ahmed M. Alaa
47
0
0
16 Nov 2023
A Simple and Powerful Framework for Stable Dynamic Network Embedding
A Simple and Powerful Framework for Stable Dynamic Network Embedding
Ed Davis
Ian Gallagher
Daniel J. Lawson
Patrick Rubin-Delanchy
90
4
0
14 Nov 2023
ResMGCN: Residual Message Graph Convolution Network for Fast Biomedical
  Interactions Discovering
ResMGCN: Residual Message Graph Convolution Network for Fast Biomedical Interactions Discovering
Zecheng Yin
70
0
0
13 Nov 2023
Predicting Properties of Nodes via Community-Aware Features
Predicting Properties of Nodes via Community-Aware Features
B. Kamiński
P. Prałat
F. Théberge
Sebastian Zajac
94
2
0
08 Nov 2023
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